Prediction of mining subsidence under thin bedrocks and thick unconsolidated layers based on field measurement and artificial neural networks

Computers and Geosciences

Volumn 52, Issue , 2013, Pages 199-203

  Yang, Weifeng ^a   Xia, Xiaohong ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Artificial neural network; Field measurement; Mining subsidence; Thick unconsolidated layers; Thin bedrocks

Indexed keywords

CHANGE TRENDS; COAL FIELDS; COAL SEAMS; CRACK DEVELOPMENT; DEFORMATION CHARACTERISTICS; FIELD MEASUREMENT; GROUND MOVEMENT; MINING SUBSIDENCE; PREDICTION METHODS; QUANTITATIVE PREDICTION; SURFACE DAMAGES; SURFACE SUBSIDENCE; THICK UNCONSOLIDATED LAYERS; THIN BEDROCK;

COAL DEPOSITS; DEFORMATION; FORECASTING; MEASUREMENTS; NEURAL NETWORKS;

SUBSIDENCE;

ARTIFICIAL NEURAL NETWORK; BEDROCK; DEFORMATION; GROUND MOVEMENT; MINING; PREDICTION; SUBSIDENCE; UNCONSOLIDATED MEDIUM;

EID: 84870673892     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2012.10.017     Document Type: Article

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